• 제목/요약/키워드: NUR

검색결과 390건 처리시간 0.022초

Efficient Privacy Preserving Anonymous Authentication Announcement Protocol for Secure Vehicular Cloud Network

  • Nur Afiqah Suzelan Amir;Wan Ainun Mior Othman;Kok Bin Wong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권5호
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    • pp.1450-1470
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    • 2023
  • In a Vehicular Cloud (VC) network, an announcement protocol plays a critical role in promoting safety and efficiency by enabling vehicles to disseminate safety-related messages. The reliability of message exchange is essential for improving traffic safety and road conditions. However, verifying the message authenticity could lead to the potential compromise of vehicle privacy, presenting a significant security challenge in the VC network. In contrast, if any misbehavior occurs, the accountable vehicle must be identifiable and removed from the network to ensure public safety. Addressing this conflict between message reliability and privacy requires a secure protocol that satisfies accountability properties while preserving user privacy. This paper presents a novel announcement protocol for secure communication in VC networks that utilizes group signature to achieve seemingly contradictory goals of reliability, privacy, and accountability. We have developed the first comprehensive announcement protocol for VC using group signature, which has been shown to improve the performance efficiency and feasibility of the VC network through performance analysis and simulation results.

Factors Influencing Corporate Donations Among Shariah-Compliant Companies in Malaysia

  • SHAARI, Nur Diyana Izzati Mohamed;ALI, Mazurina Mohd;HASNAN, Suhaily;AHMAD, Nassr Saleh Mohamad
    • The Journal of Asian Finance, Economics and Business
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    • 제10권1호
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    • pp.145-156
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    • 2023
  • Within the context of publicly traded Sharia-compliant companies in Malaysia, this study investigated the influence that board and company characteristics have on corporate donations. The primary focus of the study was (i) two board characteristics derived from upper echelons theory, namely gender composition and education level, and (ii) four firm variables derived from stakeholder theory, specifically company size, profitability, leverage, and industry category. This study used a total of 402 Shariah-compliant companies that operated in accordance with Shariah law. The information utilized in this study was culled by hand from the annual reports of various companies covering the years 2017 through 2019. According to the findings, the educational level of a company's board of directors has a significant impact on the amount of money donated to charitable organizations by Shariah-compliant companies. The level of expertise possessed by board members can be of assistance to businesses in becoming more aware of the necessity of making contributions or donations. Corporate contribution practices among Shariah-compliant companies in Malaysia were also significantly influenced by the firm's size, profitability, and the industry category in which the business was classified. The findings of the study contribute to a better understanding of the impact that board and company variables have on the activities of corporate donors.

Knowledge Distribution in Immigrant Entrepreneurship: A Qualitative Study of Immigrant Entrepreneurs in Malaysia

  • Nurul Atasha JAMALUDIN;Zizah CHE SENIK;Mohamad Rohieszan RAMDAN;Nur Aqilah Hazirah MOHD ANIM;Siti Asma' MOHD ROSDI;Raudha MD RAMLI
    • 유통과학연구
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    • 제21권8호
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    • pp.1-10
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    • 2023
  • Purpose: This study intends to explore the knowledge distribution in immigrant entrepreneurship in a host country Malaysia. In Malaysia, most immigrants are workers who later started their own businesses. They have a higher tendency to engage in entrepreneurial activities thus knowledge distribution from previous employment is necessary. Research design, data and methodology: This qualitative study using in-depth interview approach was carried out with five immigrant entrepreneurs from Bangladesh conducting business in Malaysia. The data were gathered and analysed using thematic analysis facilitated by ATLAS.ti software. Results: The findings provide useful insights on the significance of knowledge obtained during immigrant entrepreneurs' former employment in the host country, enabling them to identify the needed resources quickly to launch a successful business in a host country. Conclusions: This study contributes to the Knowledge Spillover Theory of Entrepreneurship specifically in the context of immigrant entrepreneurship who have former employment in the same business sector and a proposition is developed. For practicality, the findings provide some insights for immigrants who want to start businesses in the host country which allow them to identify and exploit entrepreneurial opportunities due to knowledge distribution at their former employment in the host country later facilitates successful business establishment there.

Development of Personalized Respiratory Training Device with Real-time Feedback for Respiratory Muscle Strengthening

  • Merve Nur Uygun;Yeong-geol Bae;Yejin Choi;Dae-Sung Park
    • Physical Therapy Rehabilitation Science
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    • 제12권3호
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    • pp.251-258
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    • 2023
  • Objective: The practice of breathing exercises involves altering the depth and frequency of respiration. Strengthening respiratory muscles plays a crucial role in maintaining overall health and well-being. The efficiency of the respiratory system affects not only physical activity but also various physiological processes including cardiovascular health, lung function, and cognitive abilities. The study evaluated the reliability of the developed device for inspiratory/expiratory training using pressure sensors and Bluetooth connectivity with a smartphone application. Design: Design & development research Methods: The research methodology involved connecting a custom-made respiratory sensor to an IMT-PEP BIC Breath device. Various pressure conditions were measured, and statistical analyses were performed to assess reliability and consistency. Results showed high Intraclass Coefficient Correlation (ICC) values for both inspiratory and expiratory pressures, indicating strong test-retest reliability. The device was designed for ease of use and wireless monitoring through a smartphone app. Results: This study conducted at expiratory pressure confirmed the proper operation of the IMT/PEP breathing trainer at the specified pressure setting in the product. The pressure sensor demonstrated high test-retest reliability with an ICC value of 0.999 for both expiratory and inspiratory pressure measurements. Conclusions: The developed respiratory training device measured and monitored inspiratory and expiratory pressures, demonstrating its reliability for respiratory training. The system could be utilized to record training frequency and intensity, providing potential benefits for patients requiring respiratory interventions. Further research is needed to assess the full potential of the device in diverse populations and applications.

Does minimally invasive canal preparation provide higher fracture resistance of endodontically treated teeth? A systematic review of in vitro studies

  • Sila Nur Usta;Emmanuel Joao Nogueira Leal Silva;Seda Falakaloglu;Mustafa Gundogar
    • Restorative Dentistry and Endodontics
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    • 제48권4호
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    • pp.34.1-34.12
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    • 2023
  • This systematic review aimed to investigate whether minimally invasive root canal preparation ensures higher fracture resistance compared to conventional root canal preparation in endodontically treated teeth (ETT). A comprehensive search strategy was conducted on the "PubMed, Web of Science, and Scopus" databases, alongside reference and hand searches, with language restrictions applied. Two independent reviews selected pertinent laboratory studies that explored the effect of minimally invasive root canal preparation on fracture resistance, in comparison to larger preparation counterparts. The quality of the studies was assessed, and the risk of bias was categorized as low, moderate, or high. The electronic search yielded a total of 1,767 articles. After applying eligibility criteria, 8 studies were included. Given the low methodological quality of these studies and the large variability of fracture resistance values, the impact of reduced apical size and/or taper on the fracture resistance of the ETT can be considered uncertain. This systematic review could not reveal sufficient evidence regarding the effect of minimally invasive preparation on increasing fracture resistance of ETT, primarily due to the inherent limitations of the studies and the moderate risk of bias.

A Multi-Class Classifier of Modified Convolution Neural Network by Dynamic Hyperplane of Support Vector Machine

  • Nur Suhailayani Suhaimi;Zalinda Othman;Mohd Ridzwan Yaakub
    • International Journal of Computer Science & Network Security
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    • 제23권11호
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    • pp.21-31
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    • 2023
  • In this paper, we focused on the problem of evaluating multi-class classification accuracy and simulation of multiple classifier performance metrics. Multi-class classifiers for sentiment analysis involved many challenges, whereas previous research narrowed to the binary classification model since it provides higher accuracy when dealing with text data. Thus, we take inspiration from the non-linear Support Vector Machine to modify the algorithm by embedding dynamic hyperplanes representing multiple class labels. Then we analyzed the performance of multi-class classifiers using macro-accuracy, micro-accuracy and several other metrics to justify the significance of our algorithm enhancement. Furthermore, we hybridized Enhanced Convolution Neural Network (ECNN) with Dynamic Support Vector Machine (DSVM) to demonstrate the effectiveness and efficiency of the classifier towards multi-class text data. We performed experiments on three hybrid classifiers, which are ECNN with Binary SVM (ECNN-BSVM), and ECNN with linear Multi-Class SVM (ECNN-MCSVM) and our proposed algorithm (ECNNDSVM). Comparative experiments of hybrid algorithms yielded 85.12 % for single metric accuracy; 86.95 % for multiple metrics on average. As for our modified algorithm of the ECNN-DSVM classifier, we reached 98.29 % micro-accuracy results with an f-score value of 98 % at most. For the future direction of this research, we are aiming for hyperplane optimization analysis.

Predicting Tree Felling Direction Using Path Distance Back Link in Geographic Information Systems (GIS)

  • Rhyma Purnamasayangsukasih Parman;Mohd Hasmadi, Ismail;Norizah Kamarudin;Nur Faziera Yaakub
    • Journal of Forest and Environmental Science
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    • 제39권4호
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    • pp.203-212
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    • 2023
  • Directional felling is a felling method practised by the Forestry Department in Peninsular Malaysia as prescribed in Field Work Manual (1997) for Selective Management Systems (SMS) in forest harvesting. Determining the direction of tree felling in Peninsular Malaysia is conducted during the pre-felling inventory 1 to 2 years before the felling operation. This study aimed to predict and analyze the direction of tree felling using the vector-based path distance back link method in Geographic Information Systems (GIS) and compare it with the felling direction observed on the ground. The study area is at Balah Forest Reserve, Kelantan, Peninsular Malaysia. A Path Distance Back Link (spatial analyst) function in ArcGIS Pro 3.0 was used in predicting tree felling direction. Meanwhile, a binary classification was used to compare the felling direction estimated using GIS and the tree felling direction observed on the ground. Results revealed that 61.3% of 31 trees predicted using the vector-based projection method were similar to the felling direction observed on the ground. It is important to note that dynamic changes of natural constraints might occur in the middle of tree felling operation, such as weather problems, wind speed, and unpredicted tree falling direction.

Development of Dye Natural Batik Based on Fiber Coconut Waste and Leaf Avocado through Extraction Method in Supporting Green Business

  • Agung UTAMA;Anita MUSTIKASARI;Nur KHOLIFAH
    • Asian Journal of Business Environment
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    • 제14권1호
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    • pp.15-22
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    • 2024
  • Purpose: The development of natural batik dyes based on a combination of coconut fiber waste and avocado leaves using the extraction method is important to support the green economy and reduce chemical waste in Indonesia. Research design, data and methodology: The research explores the use of coconut fiber and avocado leaf waste extraction as a natural batik dye and conducts market testing to assess consumer satisfaction. Results: Indonesian batik exports are growing, but synthetic dye practices are causing a decline in demand. To address this, natural dyes are being explored, including coconut fiber waste and avocado leaf waste. Conclusion: Test results from washing at 40 degrees Celsius in terms of color changes and color staining, from sweat in terms of changes in acid color and changes in base color, to sunlight in terms of color fastness value, to heat to iron in terms of color change and color staining shows a value of 3-4 (quite good) and 4-5 (good), meaning that coconut fiber and avocado leaves waste can be used as natural batik dye.

Effect of sintering programs and surface treatments on monolithic zirconia

  • Seren Nur Dokuzlu ;Meryem Gulce Subasi
    • The Journal of Advanced Prosthodontics
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    • 제16권1호
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    • pp.25-37
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    • 2024
  • PURPOSE. To investigate the effect of sintering programs and surface treatments on surface properties, phase transformation and flexural strength of monolithic zirconia. MATERIALS AND METHODS. Zirconia specimens were sintered using three distinct sintering programs [classic (C), speed (S), and superspeed (SS)] (n = 56, each). One sample from each group underwent scanning electron microscopy (SEM) and grain size analysis following sintering. Remaining samples were divided into five subgroups (n = 11) based on the surface treatments: control (CL), polish (P), glaze (G), grind + polish (GP), and grind + glaze (GG). One sample from each subgroup underwent SEM analysis. Remaining samples were thermally aged. Monoclinic phase volume, surface roughness, and three-point flexural strength were measured. Monoclinic phase volume and surface roughness were analyzed by Kruskal-Wallis and Dunn tests. Flexural strength was analyzed by two-way ANOVA and Weibull analysis. The relationships among the groups were analyzed using Spearman's correlation analysis. RESULTS. Sintering program, surface treatment, and sintering × surface treatment (P ≤ .010) affected the monoclinic phase volume, whereas the type of surface treatment and sintering × surface treatment affected the surface roughness (P < .001). Type of sintering program or surface treatment did not affect the flexural strength. Weibull analysis revealed no significant differences between the m and σo values. Monoclinic phase volume was positively correlated with surface roughness in the SGG and SSP groups. CONCLUSION. After sintering monolithic zirconia in each of the three sintering programs, each of the surface treatments can be used. However, for surface quality and aging resistance, G or GG can be recommended as a surface finishing method.

Special Education Teachers' Competence, Self-Efficacy, and Autonomy in Using ICT amid the Covid19 Pandemic

  • Yasir A. Alsamiri;Ibraheem M. Alsawalem;Malik A. Hussain;Nur Hidayanto Pancoro Setyo Putro;Mashal S. Aljehany
    • International Journal of Computer Science & Network Security
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    • 제24권6호
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    • pp.131-140
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    • 2024
  • The outbreak of Covid-19 has forced teachers of special education in Saudi Arabia to keep to themselves to live in a technology-infused society throughout the virtual teaching and learning process. This study set out to explore the competence, self-efficacy, and autonomy in using information communication technology (ICT) of special education teachers in Saudi Arabia. A total of 244 special education teachers in Saudi Arabia participated in this study. This study adopted the New General Self-Efficacy Scale developed and validated by Chen, Gully, and Eden (2001), as well as the Basic Psychological Needs in Exercise Scale (BPNES) developed and validated by Vlachopoulos and Michailidou (2006). Confirmatory factor analysis (CFA) and multivariate analysis of variance (MANOVA) were used as the main data analysis in this study. The findings showed that special education teachers in Saudi Arabia possessed competence, self-efficacy, and autonomy in using ICT in their teaching and learning process. All the factor loadings in each factor were.75 or higher, indicating good factor loadings. The results of the MANOVA indicated that special education teachers in Saudi Arabia do not report different perceptions of their competence, self-efficacy, and autonomy despite their different gender, age group, academic background, and teaching experiences.